Data Engineer: Databricks & Cloud Pipelines (Hybrid)

Vivid Resourcing Ltd; Oost-Vlaanderen; Hybride; EUR 61 000 - 73 000; Plein temps

Avantages offerts par ce poste

Company car

Mobility budget

Meal vouchers

Group insurance

Hospitalisation insurance

Training opportunities

Career progression

Résumé du poste

Vivid Resourcing Ltd is partnering with a growing veterinary and animal-health organisation to hire a Data Engineer in Belgium. You will focus on building scalable data pipelines using Databricks, Python and SQL within cloud-based data architectures.

You will collaborate with engineers, analysts and business stakeholders to evolve data platforms, ensuring data quality and governance while advancing analytics, forecasting and AI initiatives. Hybrid working from Ghent, with competitive benefits.

Qualifications

• 2–5 years of Data Engineering experience.
• Strong Python and SQL skills with hands-on data engineering experience.
• Experience with Databricks and Spark and cloud platforms (Azure/AWS/GCP) or related tooling.

Responsabilités

• Build and optimise scalable ETL/ELT pipelines.
• Work with Databricks and Apache Spark to process data.
• Develop cloud-based data lakes, warehouses, and modern data platforms.
• Integrate data from APIs, databases, SaaS applications, and other systems.
• Develop data models to support analytics, forecasting, and AI initiatives.
• Improve data quality, monitoring, governance, and platform reliability.
• Collaborate with engineers, analysts and business stakeholders.

Connaissances

Python

SQL

Data engineering

Databricks

Spark

Cloud platforms

ETL/ELT

Outils

Databricks

Spark

Azure

AWS

GCP

dbt

Airflow

Microsoft Fabric

Description du poste

Vivid Resourcing Ltd is partnering with a growing veterinary and animal-health organisation to hire a Data Engineer in Belgium. You will focus on building scalable data pipelines using Databricks, Python and SQL within cloud-based data architectures.

You will collaborate with engineers, analysts and business stakeholders to evolve data platforms, ensuring data quality and governance while advancing analytics, forecasting and AI initiatives. Hybrid working from Ghent, with competitive benefits.